Sicheng Feng
Scholar

Sicheng Feng

Google Scholar ID: v8z7VvwAAAAJ
Nankai University
Efficient Deep LearningReasoning Models
Citations & Impact
All-time
Citations
54
 
H-index
2
 
i10-index
1
 
Publications
6
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • One paper accepted by TMLR in 2025; one paper accepted by Cell Discovery in 2024; awarded National Scholarship (0.2%, ¥10000) and 95s Heart Scholarship (2%, ¥5000) in 2024; won National First Prize (¥30000) for CSDC in 2024; awarded GongNeng Scholarship (5%, ¥5000) in 2023. Published multiple papers on fine-grained visual reasoning.
Research Experience
  • Currently a research engineer at xML Lab, National University of Singapore. Interned at ENCODE Lab, Westlake University, and xML Lab, National University of Singapore.
Education
  • Obtained a B.S. degree in Computer Science from Nankai University in 2025.
Background
  • Research interests include model compression (e.g., pruning, efficient LLMs) and reasoning with LLMs/MLLMs (efficiency, visual reasoning). Worked with Prof. Huan Wang at the ENCODE Lab, Westlake University, and with Prof. Xinchao Wang at the xML Lab, National University of Singapore.